Donald Stufft | 9e1a48b | 2013-08-09 00:32:30 -0400 | [diff] [blame] | 1 | import os.path |
| 2 | |
| 3 | |
| 4 | def load_nist_vectors(vector_data, op, fields): |
| 5 | section, count, data = None, None, {} |
| 6 | |
| 7 | for line in vector_data: |
| 8 | line = line.strip() |
| 9 | |
| 10 | # Blank lines are ignored |
| 11 | if not line: |
| 12 | continue |
| 13 | |
| 14 | # Lines starting with # are comments |
| 15 | if line.startswith("#"): |
| 16 | continue |
| 17 | |
| 18 | # Look for section headers |
| 19 | if line.startswith("[") and line.endswith("]"): |
| 20 | section = line[1:-1] |
| 21 | data[section] = {} |
| 22 | continue |
| 23 | |
| 24 | # Build our data using a simple Key = Value format |
| 25 | name, value = line.split(" = ") |
| 26 | |
| 27 | # COUNT is a special token that indicates a new block of data |
| 28 | if name.upper() == "COUNT": |
| 29 | count = value |
| 30 | data[section][count] = {} |
| 31 | # For all other tokens we simply want the name, value stored in |
| 32 | # the dictionary |
| 33 | else: |
| 34 | data[section][count][name.lower()] = value |
| 35 | |
| 36 | # We want to test only for a particular operation |
| 37 | return [ |
Alex Gaynor | de9a3ee | 2013-08-09 10:42:44 -0700 | [diff] [blame^] | 38 | tuple(vector[1][f].encode("ascii") for f in fields) |
Donald Stufft | 9e1a48b | 2013-08-09 00:32:30 -0400 | [diff] [blame] | 39 | for vector in sorted(data[op].items(), key=lambda v: v[0]) |
| 40 | ] |
| 41 | |
| 42 | |
| 43 | def load_nist_vectors_from_file(filename, op, fields): |
| 44 | base = os.path.join( |
| 45 | os.path.dirname(__file__), "primitives", "vectors", "NIST", |
| 46 | ) |
| 47 | with open(os.path.join(base, filename), "r") as vector_file: |
| 48 | return load_nist_vectors(vector_file, op, fields) |